3d Face Recognition Using PCA And NN
Here we are taking 40 person’s database having 10 images per person. In total we will be having 400 images. We
are proposing a face recognition system in which we are going to use the Principal component Analysis for feature extraction
and Self Organizing Maps(SOM) as a classifier. We will be calculating the Euclidean distance on the basis of PCA and then
recognizing a face is known or unknown which will be tested between training and a testing image.
Index Terms— Eigenfaces, PCA(Principal Component Analysis) ,SOM(Self Organizing Maps),3D( Three Dimensional).